
GAE: We apply Graph Auto-Encoder (GAE) proposed in [1]} on multi-graphs and make the GAE model of each graph share the middle layer to learn region embeddings.

DeepWalk: We apply the DeepWalk model [2]} on multi-graph data and concatenate the embeddings of each graph to get region embeddings.

LINE: We apply the LINE model [3]} on multi-graph data and concatenate the embeddings of each graph to get region embeddings.

Node2Vec: We apply node2vec [4]} on multi-graph data and concatenate the embeddings of each graph to get region embeddings.

